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As data becomes the fuel driving technological and economic growth, a fundamental challenge is how to quantify the value of data in algorithmic predictions and decisions.
A value for n-person games
Shapley, L. S · 1953
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Values of large games. 6: Evaluating the electoral college exactly
Mann, I. & Shapley, L. S · 1962
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On the uniqueness of the shapley value
Dubey, P · 1975
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Detection of influential observation in linear regression
Cook, R. D · 1977
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Values of large games ii: Oceanic games
Milnor, J. W. & Shapley, L. S · 1978
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Residuals and influence in regression (New York: Chapman and Hall, 1982)
Cook, R. D. & Weisberg, S · 1982
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The Shapley value: essays in honor of Lloyd S. Shapley (Cambridge University Press, 1988)
Shapley, L. S., Roth, A. E. et al · 1988
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Bargaining foundations of shapley value
Gul, F · 1989
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A database for handwritten text recognition research
Hull, J. J · 1994
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The mnist database of handwritten digits
LeCun, Y · 1998
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The elements of statistical learning , vol. 1 (Springer series in statistics New York, NY, USA:, 2001)
Friedman, J., Hastie, T. & Tibshirani, R · 2001
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Spam filtering with naive bayes-which naive bayes?
Metsis, V., Androutsopoulos, I. & Paliouras, G · 2006
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Feature selection via coalitional game theory
Cohen, S., Dror, G. & Ruppin, E · 2007
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A linear approximation method for the shapley value
Fatima, S. S., Wooldridge, M. & Jennings, N. R · 2008
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Polynomial calculation of the shapley value based on sampling
Castro, J., Gómez, D. & Tejada, J · 2009
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Polynomial calculation of the shapley value based on sampling
Castro, J., Gómez, D. & Tejada, J · 2009
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An efficient explanation of individual classifications using game theory
Kononenko, I. et al · 2010
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Unbiased look at dataset bias
Torralba, A., Efros, A. A. et al · 2011
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Effective unconstrained face recognition by combining multiple descriptors and learned background statistics
Wolf, L., Hassner, T. & Taigman, Y · 2011
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Bounding the estimation error of sampling-based shapley value approximation
Maleki, S., Tran-Thanh, L., Hines, G., Rahwan, T. & Rogers, A · 2013
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Sample size planning for classification models
Beleites, C., Neugebauer, U., Bocklitz, T., Krafft, C. & Popp, J · 2013
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Towards sms spam filtering: Results under a new dataset
Almeida, T., Hidalgo, J. M. G. & Silva, T. P · 2013
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Efficient computation of the shapley value for game-theoretic network centrality
Inception-v4, inception-resnet and the impact of residual connections on learning
Szegedy, C., Ioffe, S., Vanhoucke, V. & Alemi, A. A · 2017
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A unified approach to interpreting model predictions
Lundberg, S. M. & Lee, S.-I · 2017
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Interpretation of neural networks is fragile
Ghorbani, A., Abid, A. & Zou, J · 2017
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Should we treat data as labor? moving beyond’free’
Arrieta Ibarra, I., Goff, L., Jiménez Hernández, D., Lanier, J. & Weyl, E. G · 2017
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
Xiao, H., Rasul, K. & Vollgraf, R · 2017
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Michalak, T. P., Aadithya, K. V., Szczepanski, P. L., Ravindran, B. & Jennings, N. R · 2013
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Classification in the presence of label noise: a survey
Frénay, B. & Verleysen, M · 2014
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Impact of hba1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records
Strack, B. et al · 2014
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Imagenet large scale visual recognition challenge
Russakovsky, O. et al · 2015
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Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age
Sudlow, C. et al · 2015
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Deep learning face attributes in the wild
Liu, Z., Luo, P., Wang, X. & Tang, X · 2015
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Rethinking the inception architecture for computer vision
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J. & Wojna, Z · 2016
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Radical Markets: Uprooting Capitalism and Democracy for a Just Society (Princeton University Press, 2018)
Posner, E. A. & Weyl, E. G · 2018
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General data protection regulation
Regulation, P · 2018
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Exploring the limits of weakly supervised pretraining
Mahajan, D. et al · 2018
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The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
Tschandl, P., Rosendahl, C. & Kittler, H · 2018
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Buolamwini, J. & Gebru, T · 2018
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Multiaccuracy: Black-box post-processing for fairness in classification
Kim, M. P., Ghorbani, A. & Zou, J · 2018
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Deeptag: inferring diagnoses from veterinary clinical notes
Nie, A. et al · 2018
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L-shapley and c-shapley: Efficient model interpretation for structured data
Chen, J., Song, L., Wainwright, M. J. & Jordan, M. I · 2018
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Consistent individualized feature attribution for tree ensembles
Lundberg, S. M., Erion, G. G. & Lee, S.-I · 2018
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A marketplace for data: an algorithmic solution
Agarwal, A., Dahleh, M. & Sarkar, T · 2018
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Towards efficient data valuation based on the shapley value
Jia, R. et al · 2019
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